Influence of Physical Forcing on Carbon Microclouds in the Ocean.

Abstract

The transformation of DOC into heterotrophic biomass is an important ecological pathway. This paper studies the theoretical basis for variability in the transformation resulting from aggregations of DOC microzones or microclouds. The paper computes measures of aggregation using the theory of stochastic geometry. The theory enables computation of aggregation in terms of the volume fraction occupied by microclouds and computation of length scales such as covariance functions and spherical contact distributions. Using real data on phytoplankton cell density and size, and conjectured dimensions of microzones, we were able to compute the volume fraction, covariance functions and spherical contact distributions for assemblages of Baltic Sea phytoplankton. By comparing microcloud length scales with molecular diffusion, turbulent diffusion and uncorrelated velocity length scales we determined that variability in the turbulent kinetic energy dissipation rate, which might be induced by global and basin scale wind forcing (for example), could influence the geometric structure of carbon microclouds. This demonstrates the plausibility of linking the largest scale physical forcing directly to the microscale structure when considering variability in the transformation of primary to secondary production.

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Document Details

Document Type
Technical Report
Publication Date
May 01, 1996
Accession Number
ADA310853

Entities

People

  • B. J. Rothschild
  • P. J. Haley Jr.

Organizations

  • University of Maryland

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Aquatic Organisms
  • Bacteria
  • Baltic Sea
  • Computations
  • Covariance
  • Diffusion
  • Fluid Mechanics
  • Geometry
  • Normal Distribution
  • Oceanography
  • Oceans
  • Phytoplankton
  • Plankton
  • Probability
  • Production
  • Statistics
  • Turbulent Diffusion

Fields of Study

  • Environmental science

Readers

  • Approximation Theory.
  • Coastal Oceanography
  • Ocean-Atmosphere Mesoscale Modeling, Data Assimilation, and Flux Boundary Layers